Episode Synopsis "Boosting"

Boosting is also an ensemble meta-algorithm, like boosting. However, in boosting we teach a large number of weak, but specialized learners, and combine them according to their strengths. For more information on boosting, consider watching the University of Washington's great lecture on the topic.  

Listen "Boosting"

More episodes of the podcast Machine Learning Bytes

• K-Fold Cross Validation
• Stratified Sampling
• Boosting
• Bagging
• Bias, Variance, and the Bias-Variance Tradeoff
• Empirical Risk Minimization